Отчёт AX Audit

https://hevodata.com

August 12, 2026737ms response

66AX score / 100

Needs work

Readiness diagnosis

This site needs work before agents can use it reliably. Address the priority findings to improve readiness.

1 критических

3 warnings

25 пройдено

Current constraintAgent Integration33%

Five readiness layers

Readiness orbit

The shape reveals where an agent journey breaks down, from finding the site to completing useful work.

Evidence profile

29 checks recorded

Passed vs. material gaps

Critical

Warnings

Passed

Discovery

5.4 / 13 weighted points

42%

Identity

18.3 / 22 weighted points

83%

Access

26.4 / 31 weighted points

85%

Agent Integration

Current constraint

8.0 / 24 weighted points

33%

User Experience

8 / 10 weighted points

80%

Start here

Top Priorities

Select the highest-impact Findings to include in your Fix Plan.

CAPTCHA or bot protection detected

Индексируемость

Review

No llms.txt file found — AI agents cannot discover your services

Взаимодействие с агентом

Review

No Schema.org potentialAction — agents can't tell what they can do on your site

Actionability

Review

Missing semantic HTML: <main>, <header>

Качество контента

Review

Explore the audit

Findings and fixes

Индексируемость

Performance

Безопасность и доверие

All Findings

robots.txt allows all major AI crawlers

Page returns HTTP 200

Page content available without JavaScript

CAPTCHA or bot protection detected
Consider allowing AI crawlers to bypass bot protection. Options:
1. Whitelist known AI crawler IPs (OpenAI, Anthropic, Google publish their ranges)
2. Use robots.txt to signal crawler access
3. Configure your WAF/CDN to exempt verified bot traffic

Found 4 JSON-LD structured data blocks

Business schema found: Organization, Product

OpenGraph tags complete (title, description, image)

Meta tags complete (title, description, canonical)

No llms.txt file found — AI agents cannot discover your services
Create a /llms.txt file at your site root:

# Your Business Name

> Brief description of your business.

## Services
- [Service 1](/service-1): Description
- [Service 2](/service-2): Description

See https://llmstxt.org for the full spec.

No MCP server or AI agent endpoint detected — agents cannot interact with your business
Set up a Model Context Protocol (MCP) server so AI agents can interact with your business directly. This allows agents to book appointments, check availability, and more.

With Dashform, you can add MCP support to your website in minutes — no coding required.

Alternatively, create /.well-known/ai-plugin.json for ChatGPT plugin compatibility.

API documentation links found

sitemap.xml found and valid

No Schema.org potentialAction — agents can't tell what they can do on your site
Add a potentialAction to your Schema.org JSON-LD so agents can act, e.g.:
"potentialAction": {
  "@type": "ReserveAction",
  "target": "https://yoursite.com/book"
}

No scheduling link found — agents can't book time with you directly

Contact/lead form with an email field is present

Live chat / conversational widget detected

CTA buttons have descriptive labels

Missing semantic HTML: <main>, <header>
Add missing semantic HTML elements: <main>, <header>

96% of images have alt text (138/144)

Sufficient text content available for AI extraction

2 social media links found

Schema.org sameAs links found (cross-platform identity)

Location or rating data found in schema — consider linking to Google Business Profile

Contact information detected (phone, address)

Fast response time (737ms)

Lean HTML payload (286KB)

Response is compressed (gzip)

No caching headers — repeat agent fetches can't be revalidated

No author/publisher in schema — weak authorship signal
Add author and publisher to your Schema.org JSON-LD to establish credibility:
"publisher": { "@type": "Organization", "name": "Your Brand" }

Review/rating schema found — agents can cite social proof

Partial security headers (HSTS only)

No dateModified/datePublished in schema — agents can't judge freshness
Add dateModified/datePublished to your Schema.org JSON-LD so agents can judge freshness:
"dateModified": "2026-01-15"

Footer/copyright year is current

HTTPS enabled

SSL certificate valid

Privacy policy link found

Terms of service link found

hevodata.com

https://hevodata.com

Readiness orbit

Top Priorities

Findings and fixes

All Findings

Turn audit findings into an agent-ready funnel.

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